Virtual Prop Recommendation Using Set-Difference Outfit Switching
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Solution Overview
Problem
Existing virtual prop selection methods in game applications suffer from low selection accuracy and efficiency, leading to increased data transmission and resource consumption due to frequent prop changes, and often result in unsuitable outfit choices for current game tasks.
Innovation Solution
A method and apparatus for recommending virtual props by comparing a first prop set with a preconfigured prop set for a target virtual character, displaying a recommendation interface with prop identifiers, and providing update prompts for quick prop set switching based on set differences and operation interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If players habitually select historically used equipment outfits, then operation convenience is improved, but selection accuracy deteriorates
Solution Approach 1:
The system pre-calculates and presents recommended equipment outfits before the player makes a selection. By providing pre-computed recommendations based on game state analysis, the system helps players make more accurate selections without requiring them to manually evaluate all options, thus improving selection accuracy while maintaining ease of operation.
Solution Approach 2:
The system provides feedback to players by comparing their selected outfit with the recommended outfit and explaining why the recommended outfit might be superior. This feedback mechanism guides players toward better selections while respecting their initial choices, balancing convenience with accuracy improvement.
2Adaptability or versatility
If players frequently select and replace virtual props, then selection adaptability is improved, but data transmission volume increases
Solution Approach 1:
The system performs preliminary analysis of the game state and pre-determines optimal prop selections before players actually switch props. By predicting what props players will need based on current game conditions, the system can prepare and transmit only the necessary prop information, reducing unnecessary data transmission while maintaining adaptability.
Solution Approach 2:
The system automatically provides prop recommendations and updates without requiring explicit player requests. The prop selection system serves itself by continuously analyzing game state and proactively providing updated prop information, reducing the frequency and volume of data transmissions compared to player-initiated requests.
3Adaptability or versatility
If servers load and release virtual props based on frequent switching, then system adaptability is improved, but resource consumption increases
Solution Approach 1:
The server performs preliminary analysis of game states and pre-loads only the necessary prop data before players need to switch props. By anticipating prop selection needs based on game progression and state analysis, the server reduces unnecessary loading and releasing operations, thereby decreasing resource consumption while maintaining system adaptability.
Solution Approach 2:
The prop recommendation system automatically manages server resources by analyzing game states and proactively preparing prop data without waiting for player requests. This self-service mechanism optimizes server resource allocation by loading props only when predicted to be needed, reducing overall server resource consumption compared to reactive approaches.
Data Source
AI summary
In a method for recommending virtual items, based on a selection of a target virtual character, item recommendation information matching the target virtual character is obtained. The target virtual character is configured to perform a virtual task. The item recommendation information includes a first item set. Item preselection information of a target account is obtained. The item preselection information includes a second item set preconfigured by the target account. Based on a set difference between the first item set and the second item set, a recommendation interface including set identifier information is output for display. In the recommendation interface, an item identifier corresponding to at least one virtual item is output for display. Based on a target operation performed on the recommendation interface, an update indication is output for display. The update indication indicates that the item preselection information is updated based on the first item set.